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Data Scientist
Rue La La Boston, Massachusetts
Full-time Position
Relocation offered Remote Work Available

Description

RueLaLa.com is looking for an exceptional data science engineer to join the data engineering team. In this role, you will leverage primary data and predictive modeling to operationalize systems, and processes towards maximum economic efficiency. You will be a thought leader and innovator, capable of seeing the big picture and comfortable with details, and an effective communicator of sophisticated technical ideas to a non-technical audience and to operationalize your models in a production environment. This is a greenfield position where you come in and inject best practices and enable data science discipline at RueLaLa.com.

Responsibilities :

Solve business problems using advanced statistical techniques including but not limited to regression/logistic regression, bootstrap, decision tree, gradient boosting, neural network, clustering & binning, and market basket analysis
Lead the identification and creation of predictive analytics opportunities to solve business problems and drive value
Proactively identify and develop expertise in new technologies, methodologies, and techniques facilitating decision sciences and systems engineering
Design and manage experiments and pilots to test hypotheses
Lead cross-function projects from ideation/conception through execution and completion
Partner and coordinate with Product, Marketing & Engineering to operationalize analytical models

Qualifications / Experience

Required education and experience: PhD in applied mathematics, computer science, operations research, systems engineering, decision sciences, statistics or other quantitative disciplines OR Master in quantitative disciplines plus 3+ year experience in predictive modeling and advanced analytics OR Bachelor in quantitative disciplines plus 5+ year experience in predictive modeling and advanced analytics
Experience working with collaborative filtering, clustering, classification, regression, information retrieval, and/or statistical modeling.
Knowledge of Hadoop, Hive, Redshift, Spark or similar big data tools and technology
Experience working with SQL, Java or Python
Fluency working with machine learning tools such as R, Python scikit-learn
Must have exceptional analytical, problem solving, decision making, communication, and organizational skills

Ready for the most memorable experience of your professional career (if we do say so ourselves)? Then join us at Rue La La. Rue burst onto the scene in 2008, disrupting retail with our high-end, flash-sale model. Today, we’re an established company, but we still have that start-up spark. And we use it to find new ways to engage, inspire, and surprise our more than 15 million loyal Members with an unmatched consumer experience. We’re also applying that energy to our next big task: rewriting the rules around e-commerce and content. At Rue, we think true style is about more than what we sell. (Although we can’t get enough of that either.)

Our day-to-day style? Just as important. Whether we’re in our Boston, Kentucky, or New York office, we lead by example. We strive to be tenacious, decisive, passionate, collaborative, innovative, and kind. Every day. We grab coffee and brainstorm new ways to delight our Members. Volunteer on- and off-hours together. And plan some serious birthday surprises for our coworkers, because nothing sparks creativity like a breakfast granola buffet or an afternoon slice of cake.

And this style of work? It inspires confidence in our Members and confidence in ourselves to think, create, innovate, and make our 9-to-5 more than what happens between weekends.
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